Global intrusion detection and tolerance in networked systems
Proceedings of the 2007 ACM symposium on Applied computing
ACM Computing Surveys (CSUR)
Two effective methods to detect anomalies in embedded systems
Microelectronics Journal
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Parallel and distributed data mining offer great promise for addressing cybersecurity. The Minnesota Intrusion Detection System can detect sophisticated cyberattacks on large-scale networks that are hard to detect using signature-based systems.